-folio

A simple Jekyll theme for showcasing your work, emphasis on whitespace, transparency, and helvetica.

2018_erum_textclassification_workshop

advanced-shiny

Shiny tips & tricks for improving your apps and solving common problems

awesome-h2o

A curated list of research, applications and projects built using H2O Machine Learning

blog-resources

Code and stuff from my blog

causalimpact

Intervention analyses workflow Intervention analyses workflow optimised using dynamic time warping and Bayesian structural time series models. Combines CausalImpact package written by Kay Brodersen at Google and the dtw package available in CRAN. In addition, we will introduce an R package called MarketMatching. Source: http://multithreaded.stitchfix.com/blog/2016/01/13/market-watch/

causalimpactcyecandy

Want to know the ROI on a marketing campaign but don’t want to spend your profit testing it? What if you could look into the future and know profitable that campaign will be before you run it?

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

conda

Specifying a conda environment with `environment.yml`

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

crossfilter

Fast n-dimensional filtering and grouping of records.

cyecandy.github.io

A Jekyll theme for organizations & non-profits

datasciencecoursera

Course Project

datascienceportfolio

datasharing

The Leek group guide to data sharing

documentation

Plotly's Documentation

fasttext_multilingual

Multilingual word vectors in 78 languages

gitterbot

Chatbot for GitHub Satellite Workshops - Forked from dcscan/gitterbot

god-level-data-science-ml-full-stack

A collection of scientific methods, processes, algorithms, and systems to build stories & models. This roadmap contains 16 Chapters, whether you are a fresher in the field or an experienced professional who wants to transition into Data Science & AI

h2o-3

Open Source Fast Scalable Machine Learning API For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles...)

h2o_london_workshop

hbgdki-london

Healthy Birth, Growth & Development knowledge

hr

Why are our best and most experienced employees leaving prematurely?

ia-kaggle-dsp-17

interventionanalysis

Intervention Analysis Workflow

intro-to-apis

Supporting docs for workshop on APIs

kaggle-personalized-medicine

Analysis and predicting model for Personalized Medicine: Redefining Cancer Treatment competition in Kaggle.

machine-learning-with-python

Python code for common Machine Learning Algorithms

machinelearningstudygroup

Materials from the London Machine Learning Study Group Meetups

maciejjaskowski.github.io